19 of 19 Data Ingestion Jobs in Scotland

looking for a hands-on technologist with strong experience in large-scale data and asset modelling using Python, with particular expertise in Pydantic-based data modelling, schema definition and validation. Experience with AI-assisted development and agent orchestration tools is highly desirable, particularly where these technologies are used … accelerate high-quality software delivery. In this role, you will work closely with data governance, architecture, technology, risk, compliance and business teams to translate complex regulatory, metadata and technology requirements into robust data models, reusable design patterns and platform-ready solutions. What You'll Do Design, enhance ...

# 23234 Job description Connect to your IndustryDeloitte’s AI for Sustainability and Infrastructure team sits within our Engineering, AI & Data offering area and is purpose built to help our client’s lead and win through the transition to a low‐carbon, digitally enabled, prosperous, equitable and resilient economy.We … Sustainability related problems. Working within our business allows you to empower clients with cutting edge technology assets and alliances including AI and Data foundations, Geospatial Analytics and Digital Twin Modelling, Sustainability infused ERP, Supply Chain Traceability and AI enabled reporting and performance management.Connect to your career at Deloitte Deloitte ...

Senior Business Analyst (Data Platforms) Edinburgh, Hybrid (2 - 3 days onsite) Initial 6 Month Contract - Inside IR35 £475 - £525 p/d We're working with a leading investment management organisation looking to appoint an experienced Senior Business Analyst to support the adoption of a new enterprise data … business adoption and ensuring the new platform delivers real value across the organisation. You'll work closely with technology and business stakeholders to understand data requirements, improve processes and help embed a modern enterprise data management solution. Key Responsibilities: Work with business and technical teams to drive adoption ...

Description:Your ImpactAs a Data Engineer, you will design, develop, deploy, and maintain data architecture which employs various methods to transform raw data into processed data. You will own the DataOps infrastructure, ensuring the performance, reliability, and scalability of data ingestion and processing pipelines … support evolving business and operational demands.To succeed in this data engineering position, you should have strong problem-solving skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages.What you’ll doOrchestrate the ingestion, processing, and storage ...

Data Modelling Specialist - Senior Python Developer Location: Glasgow (candidates must be commutable to Glasgow) Contract type: FTC >£110K or Contract (Inside IR35) £600 per day Our client, a consultancy supporting a leading global financial services organisation, is looking for a hands-on Data Modelling Specialist/Senior Python … Developer to join their data governance function, sitting within a technology risk and controls team. We are looking for candidates with strong Python development experience, alongside hands-on Collibra metadata management expertise. Experience in data modelling, governance, APIs, SQL and financial services would be particularly relevant. You will ...

hackajob is partnering directly with Leonardo to hire for this role. Job Description: Your Impact As a Data Engineer, you will design, develop, deploy, and maintain data architecture which employs various methods to transform raw data into processed data. You will own the DataOps infrastructure, ensuring … performance, reliability, and scalability of data ingestion and processing pipelines to support evolving business and operational demands. To succeed in this data engineering position, you should have strong problem-solving skills and the ability to combine data from different sources. Data engineer skills also include ...

Senior AWS Cloud Engineer | S4 | Data & AI Domain | Multiple LocationsCountry: United Kingdom IT STARTS HERE Santander (www.santander.com) is evolving from a global, high-impact brand into a technology-driven organisation , and our people are at the heart of this journey. Together , we are driving a customer-centric transformation that … robust risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management. The Data & AI Domain at Santander is responsible for setting the strategic direction for data, analytics, and artificial intelligence across the organisation. It ensures that data ...

Venesky-Brown’s client, a public sector organisation in Dumfries, is currently looking to recruit a Data Architect (Part-time) working 3 days per week, for an initial 3 month contract on a rate of £750/day (Outside IR35). This role will be 2 days from home … organisational memory and support future development. - Provide clear progress, risk and decision reporting to senior DDaT leadership and relevant governance groups. - Work alongside the Data & Analytics Manager to establish delivery plans, allocating activities appropriately while maintaining clear accountability and professional boundaries. - Coach and mentor existing staff, transferring knowledge ...

Title: Senior Manager- (Quantexa) Tech Lead Service Line: Data & AI – KPMG At KPMG, our Data & AI practice is a fast-growing and strategic capability. We combine technical implementation with deep domain understanding to deliver high-impact solutions for our clients. Within this space, Quantexa plays a critical role … enabling advanced entity resolution, network generation, and contextual analytics across complex data ecosystems. The Role – Quantexa Tech Lead We are seeking a Quantexa Tech Lead to join our growing team and play a key role in the delivery of data-driven solutions using the Quantexa platform. The ideal ...

# 23615 Job description Connect to your IndustryDeloitte’s AI for Sustainability and Infrastructure team sits within our Engineering, AI & Data practice and is purpose built to help our clients lead and win through the transition to a low‐carbon, digitally enabled, prosperous, equitable and resilient economy.We work across … Sustainability related problems. Working within our business allows you to empower clients with cutting edge technology assets and alliances including AI and Data foundations, Geospatial Analytics and Digital Twin Modelling, Sustainability infused ERP, Supply Chain Traceability and AI enabled reporting and performance management.Connect to your career at Deloitte Deloitte ...

traded on the New York Stock Exchange (NYSE: FLUT).THE POSITIONOur roster has an opening with your name on itWe are looking for a Data API Engineer (Software Engineer with interest in Data applications) to join our growing team and help build the Applications with REST API endpoints … provide recommendations based on data pipelines, ML Model and infrastructure that power analytics, machine learning, and drive business and customer insights across the company. In this role, you’ll contribute to the design, development, and maintenance of reliable Fraud recommendation applications while collaborating with stakeholders to supporthigh-impact data ...

AreAddepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly … countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City ...

where connectivity is unreliable and power is constrained. Their vision is straightforward and radical: machine learning models that run on embedded devices, processing sensor data in the field, making instant decisions without relying on cloud infrastructure or continuous data transmission. This is not a supervised learning problem … demanding form: taking sophisticated sensor-based classification systems and making them run reliably on devices with megabytes of RAM, in real-world environments where data is noisy, conditions are uncontrolled, and failure is not an option. The client is at the frontier of what embedded ML can do. Most ...

senior Python engineer who wants to work at the intersection of data platforms and applied AI? This is your opportunity to join a small, high-impact team building something new from the ground up — where your decisions shape the architecture, not just the backlog. At JPMorganChase, we invest … engineers who are curious, pragmatic, and ready to grow into emerging technology stacks.As a Senior Lead Software Engineer at JPMorganChase within the Corporate Technology Data and Analytics Services team, you will be a founding contributor to the Context Plane — a greenfield platform that connects the firm's data ...

senior Python engineer who wants to work at the intersection of data platforms and applied AI? This is your opportunity to join a small, high-impact team building something new from the ground up - where your decisions shape the architecture, not just the backlog. At JPMorganChase, we invest … curious, pragmatic, and ready to grow into emerging technology stacks. As a Senior Lead Software Engineer at JPMorganChase within the Corporate Technology Data and Analytics Services team, you will be a founding contributor to the Context Plane - a greenfield platform that connects the firm's data mesh ...

applications and third‐party tools. Work with message brokers (RabbitMQ) to design event‐driven and asynchronous integration patterns. Collaborate with stakeholders to ensure seamless data flow across interconnected systems. Design, develop, and maintain background ETL processes for data ingestion, transformation, and loading. Build and optimize data pipelines that support analytics, reporting, and operational workflows. Ensure data integrity, reliability, and traceability across all pipeline stages. Contribute to and lead discussions on system architecture, ensuring solutions are robust, scalable, and maintainable. Define technical standards and patterns for backend services across the engineering team. Evaluate and recommend ...

Director/Associate Director, you’ll build trusted relationships with business stakeholders – and use the most exciting new AWS technologies available – to create data-driven programmes that transform their organisations. Your advice will help clients position their organisations to succeed in an ever-evolving marketplace.· Lead the architectural design … significant focus on designing and implementing solutions on AWS.· Proven track record of successfully delivering large-scale, complex AWS projects across various domains (e.g., data analytics, application modernisation, infrastructure, security).· Experience working in a technical pre-sales capacity, producing bid documentation, RFIs, RFPs and participating in technical ...

hackajob is partnering directly with Leonardo to hire for this role. Job Description: Your Impact As a Data Engineer, you will design, develop, deploy, and maintain data architecture which employs various methods to transform raw data into processed data. You will own the DataOps infrastructure, ensuring … performance, reliability, and scalability of data ingestion and processing pipelines to suppo click apply for full job details ...

controls, and document and track risk treatment plans. This includes evaluating AI/ML use cases (internal builds and third-party services) for security, data protection, and misuse risks.Third‐Party Risk Management: Plan and execute third‐party risk assessments for suppliers and service providers, including review of third-party … Regulatory Support: Partner with Legal, HR, and other stakeholders to identify and manage security‐related privacy and regulatory obligations; support privacy risk assessments and data protection controls as needed. Work with these stakeholders to assess privacy and data protection implications of AI/ML solutions, including data ...